ABSTRACT
Quality resilience assessment for transportation systems relies on realistic representations of the network and traffic demand, and credible network traffic modeling. This paper presents a framework that incorporates time-dependent functionality analysis of disrupted networks and dynamic traffic simulations. Focusing on bridge disruptions, two distinct types of events are considered, earthquake and civil protest. The mesoscopic traffic flow model and the dynamic traffic assignment approach (as opposed to the static assignment approach) are utilized to realistically represent traffic dynamics. The presented results show that the dynamic traffic simulations provide traffic measures at a fine-grained spatiotemporal level which are valuable for post-event performance assessment. Traffic congestion effects are identified in earthquake-disrupted networks. Despite the limited disruption scope, protests on bridges can have significant impact on local travel cost. These findings promote using dynamic traffic modeling for transportation network analysis, highlighting the usefulness of more reliable and granular metrics for decision-making.
